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Total 54 questions

Quantitative Principles in Compensation Management Questions and Answers

Question 1

What is the median of the following data?

7, 17, 3, 19, 13, 9, 7

Options:

A.

7

B.

9

C.

13

D.

11

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Question 2

You have been given the task of examining the effect of a pay-for-performance project on employee productivity. You have obtained a productivity rating score for all program participants. Which of the following best describes your data?

Options:

A.

The data represents a sample

B.

The data represent a population

C.

Productivity rating scores only produce nominal data

D.

Productivity rating scores always produce ratio data.

Question 3

Rating employee performance on a five-point scale is most likely an example of which level of measurement?

Options:

A.

Nominal

B.

Ordinal

C.

Interval

D.

Ratio

Question 4

Which of the following is a characteristic of a standard deviation?

Options:

A.

The standard deviation is based on the middle portion of the data.

B.

The standard deviation reflects the variation of values between two points.

C.

The standard deviation uses all the data points from the data set in its calculation

D.

At least 95% of the points in a data set will always be within +-2 standard deviations from the mean.

Question 5

Twelve percent of your workforce of 9,500 lives in France. How many people in your workforce live in France?

Options:

A.

962

B.

1,000

C.

1,140

D.

1,212

Question 6

Makayla's salary has grown at a rate of 7.3% per year for the past six years. If her increases remain the same, how long will her salary take to double?

Options:

A.

9.86 years

B.

10.42 years

C.

13.20 years

D.

27.10 years

Question 7

An employee earning 50,000 annually contributes 8% of his/her salary to a voluntary savings plan in the first year of participation. Excluding investment earnings, how much is in this employee's account at the end of the first year?

Options:

A.

2,000

B.

4,000

C.

5,500

D.

8,000

Question 8

What type of regression model does the following equation suggest? y = a + b1x1

Options:

A.

Multiple factor regression

B.

Nonlinear regression

C.

Bivariate regression

D.

Curvilinear regression

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Total 54 questions